The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn.

About the Role

As a Forward Deployed Solution Engineer, you will be a critical part of the go-to-market team owning the technical journey from initial customer engagement through to production go-live.This is a unique opportunity to operate at the intersection of engineering, sales, and customer delivery at a high-growth startup.

You are not just designing solutions you are building and shipping them. You will partner closely with Account Executives to win strategic deals, then lead hands-on implementation to ensure customers realize value quickly. This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous problems, and takes pride in delivering real-world impact through production systems.

What You’ll Do

• Own the Technical Win: Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes
• Translate Requirements into Solutions: Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps
• Build & Ship Production Systems: Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations
• Drive Time-to-Value: Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days
• Bridge Pre-Sales to Delivery: Own the transition from sales to implementation, including scoping, SOW creation, and execution
• Act as a Strategic Technical Advisor: Guide customers on architecture decisions, best practices, and long-term scalability
• Identify Expansion Opportunities: Partner with customers to uncover additional use cases and drive continued adoption and growth
• Close the Product Feedback Loop: Surface recurring challenges and contribute to product improvements through technical insights and specifications
• Operate with Ownership: Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution

What You’ll Need

• 5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering)
• 5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering)
• Strong hands-on experience building and shipping production systems in customer environments
• Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar)
• Experience working with APIs, webhooks, and system integrations
• Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows
• Experience in cloud environments (AWS, Azure, or GCP)
• Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders

Preferred Qualifications

• Experience in a high-growth startup or fast-paced environment
• Background in solution architecture or technical pre-sales
• Experience authoring Statements of Work (SOWs) and scoping customer implementations
• Familiarity with data modeling, data pipelines, and large-scale data systems
• Comfort working across the full customer lifecycle, from pre-sales through post-deployment

Your submission of this information is governed by our privacy policy and our use thereof. 

The Opportunity 

The DevSecOps Engineer role has been created to embed security into our engineering, DevOps and cloud delivery pipelines. Working closely with our Development, DevOps, Infrastructure and Security teams, you will engineer, automate and maintain security controls across our CI/CD pipelines, cloud workloads and application lifecycle. 

This position is critical in uplifting our secure by design practices, reducing vulnerabilities, and ensuring our rapidly evolving development environments adhere to best-in-class security standards. (Infosec presentations highlight the explicit gap for DevSecOps capability and security integration into Dev and Cloud projects).

Key Responsibilities

• Integrate security controls into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or equivalent). 
• Implement automated SAST, SCA, DAST, container scanning and secrets management controls. (Referenced in secure development lifecycle expectations.)   
• Work with Development and DevOps teams to ensure secure design principles, threat modelling and secure coding practices are embedded early in the lifecycle. 
• Engineer and maintain tooling for vulnerability management across code, containers, pipelines and cloud workloads. 
• Automate security guardrails across Azure resources, Kubernetes clusters, API gateways, serverless workloads and service meshes. 
• Support and enhance the deployment of security policies (IAM, key vaults, network controls, hardening baselines). 
• Partner with engineering squads to review architecture changes and ensure security requirements are addressed. 
• Contribute to incident response activities where application or pipeline security is implicated. 
• Contribute to uplift of our secure engineering policies, developer training and SSDLC processes. (Supports expectations stated in internal assessments and training docs).

Requirements:

• Experienced in DevOps or platform engineering with a strong security mindset. 
• Hands-on experience with at least one CI/CD platform (Azure DevOps preferred). 
• Good understanding of application security principles (OWASP Top 10, SANS/CWE Top 25). 
• Experience integrating or running security scanners: SAST, SCA, DAST, container scanning, IaC scanning. 
• Experience with infrastructure as code (Terraform, ARM/Bicep, Helm). 
• Familiar with cloud security (preferably Azure) and container security best practices. 
• Capable of supporting vulnerability management processes and remediation workflows. 
• Ability to collaborate with Software Engineering, DevOps, SRE, Cloud and Security teams. 
• Strong communicator able to translate risk into engineering friendly language. 

Nice to Have:

• Kubernetes (AKS), service mesh, container runtime security. 
• Experience integrating security telemetry into SIEM/SOAR pipelines. 
• Exposure to Zero Trust design principles. 
• Threat modelling and automated security testing frameworks. 

The Opportunity 

The DevSecOps Engineer role has been created to embed security into our engineering, DevOps and cloud delivery pipelines. Working closely with our Development, DevOps, Infrastructure and Security teams, you will engineer, automate and maintain security controls across our CI/CD pipelines, cloud workloads and application lifecycle. 

This position is critical in uplifting our secure by design practices, reducing vulnerabilities, and ensuring our rapidly evolving development environments adhere to best-in-class security standards. (Infosec presentations highlight the explicit gap for DevSecOps capability and security integration into Dev and Cloud projects).

Key Responsibilities

• Integrate security controls into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or equivalent). 
• Implement automated SAST, SCA, DAST, container scanning and secrets management controls. (Referenced in secure development lifecycle expectations.)   
• Work with Development and DevOps teams to ensure secure design principles, threat modelling and secure coding practices are embedded early in the lifecycle. 
• Engineer and maintain tooling for vulnerability management across code, containers, pipelines and cloud workloads. 
• Automate security guardrails across Azure resources, Kubernetes clusters, API gateways, serverless workloads and service meshes. 
• Support and enhance the deployment of security policies (IAM, key vaults, network controls, hardening baselines). 
• Partner with engineering squads to review architecture changes and ensure security requirements are addressed. 
• Contribute to incident response activities where application or pipeline security is implicated. 
• Contribute to uplift of our secure engineering policies, developer training and SSDLC processes. (Supports expectations stated in internal assessments and training docs).

Requirements:

• Experienced in DevOps or platform engineering with a strong security mindset. 
• Hands-on experience with at least one CI/CD platform (Azure DevOps preferred). 
• Good understanding of application security principles (OWASP Top 10, SANS/CWE Top 25). 
• Experience integrating or running security scanners: SAST, SCA, DAST, container scanning, IaC scanning. 
• Experience with infrastructure as code (Terraform, ARM/Bicep, Helm). 
• Familiar with cloud security (preferably Azure) and container security best practices. 
• Capable of supporting vulnerability management processes and remediation workflows. 
• Ability to collaborate with Software Engineering, DevOps, SRE, Cloud and Security teams. 
• Strong communicator able to translate risk into engineering friendly language. 

Nice to Have:

• Kubernetes (AKS), service mesh, container runtime security. 
• Experience integrating security telemetry into SIEM/SOAR pipelines. 
• Exposure to Zero Trust design principles. 
• Threat modelling and automated security testing frameworks. 

The Opportunity 

The DevSecOps Engineer role has been created to embed security into our engineering, DevOps and cloud delivery pipelines. Working closely with our Development, DevOps, Infrastructure and Security teams, you will engineer, automate and maintain security controls across our CI/CD pipelines, cloud workloads and application lifecycle. 

This position is critical in uplifting our secure by design practices, reducing vulnerabilities, and ensuring our rapidly evolving development environments adhere to best-in-class security standards. (Infosec presentations highlight the explicit gap for DevSecOps capability and security integration into Dev and Cloud projects).

Key Responsibilities

• Integrate security controls into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or equivalent). 
• Implement automated SAST, SCA, DAST, container scanning and secrets management controls. (Referenced in secure development lifecycle expectations.)   
• Work with Development and DevOps teams to ensure secure design principles, threat modelling and secure coding practices are embedded early in the lifecycle. 
• Engineer and maintain tooling for vulnerability management across code, containers, pipelines and cloud workloads. 
• Automate security guardrails across Azure resources, Kubernetes clusters, API gateways, serverless workloads and service meshes. 
• Support and enhance the deployment of security policies (IAM, key vaults, network controls, hardening baselines). 
• Partner with engineering squads to review architecture changes and ensure security requirements are addressed. 
• Contribute to incident response activities where application or pipeline security is implicated. 
• Contribute to uplift of our secure engineering policies, developer training and SSDLC processes. (Supports expectations stated in internal assessments and training docs).

Requirements:

• Experienced in DevOps or platform engineering with a strong security mindset. 
• Hands-on experience with at least one CI/CD platform (Azure DevOps preferred). 
• Good understanding of application security principles (OWASP Top 10, SANS/CWE Top 25). 
• Experience integrating or running security scanners: SAST, SCA, DAST, container scanning, IaC scanning. 
• Experience with infrastructure as code (Terraform, ARM/Bicep, Helm). 
• Familiar with cloud security (preferably Azure) and container security best practices. 
• Capable of supporting vulnerability management processes and remediation workflows. 
• Ability to collaborate with Software Engineering, DevOps, SRE, Cloud and Security teams. 
• Strong communicator able to translate risk into engineering friendly language. 

Nice to Have:

• Kubernetes (AKS), service mesh, container runtime security. 
• Experience integrating security telemetry into SIEM/SOAR pipelines. 
• Exposure to Zero Trust design principles. 
• Threat modelling and automated security testing frameworks. 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is on the lookout for a skilled Analytics Engineer with strong software development skills who is passionate about games and big data.

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games.
• We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.
• The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team.

RESPONSIBILITIES

• Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights. Collaborate with the Data Engineering team to design data models and data pipelines. 
• Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability.
• Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.  
• Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow. Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes.
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc.
• Define and implement monitoring and alerting policies for data solutions. 

REQUIREMENTS

• 3+ years of experience in analytics engineering or data engineering Python. 
• Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
• Experience working in Databricks & Azure environment (or other cloud equivalents).  
• Experience working with pipeline scheduling tools such as Airflow & Astronomer.
• Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background. 
• 3+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
• Ability to push the frontier of technology and freely pursue better alternatives.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Streaming or NRT modeling experience.
• Experience with PySpark.
• Passion for technical mentorship. 

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

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